Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
J Immunother Cancer. 2021 Mar;9(3). doi: 10.1136/jitc-2020-001458.
Some sarcomas respond to immune checkpoint inhibition, but predictive biomarkers are unknown. We analyzed tumor DNA methylation profiles in relation to immunological parameters and response to anti-programmed cell death 1 (anti-PD-1) immune checkpoint inhibitor (ICI) therapy in patients with sarcoma.
We retrospectively identified adult patients who had received anti-PD-1 ICI therapy for recurrent sarcoma in two independent centers. We performed (1) blinded radiological response evaluation according to immune response evaluation criteria in solid tumors (iRECIST) ; (2) tumor DNA methylation profiling of >850,000 probes using Infinium MethylationEPIC microarrays; (3) analysis of tumor-infiltrating immune cell subsets (CD3, CD8, CD45RO, FOXP3) and intratumoral expression of immune checkpoint molecules (PD-L1, PD-1, LAG-3) using immunohistochemistry; and (4) evaluation of blood-based systemic inflammation scores (neutrophil-to-lymphocyte ratio, leucocyte-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, platelet-to-lymphocyte ratio). Response to anti-PD-1 ICI therapy was bioinformatically and statistically correlated with DNA methylation profiles and immunological data.
35 patients (median age of 50 (23-81) years; 18 females, 17 males; 27 soft tissue sarcomas; 8 osteosarcomas) were included in this study. The objective response rate to anti-PD-1 ICI therapy was 22.9% with complete responses in 3 out of 35 and partial responses in 5 out of 35 patients. Adjustment of DNA methylation data for tumor-infiltrating immune cells resulted in identification of methylation differences between responders and non-responders to anti-PD-1 ICI. 2453 differentially methylated CpG sites (DMPs; 2043 with decreased and 410 with increased methylation) were identified. Clustering of sarcoma samples based on these DMPs revealed two main clusters: methylation cluster 1 (MC1) consisted of 73% responders and methylation cluster 2 (MC2) contained only non-responders to anti-PD-1 ICI. Median progression-free survival from anti-PD-1 therapy start of MC1 and MC2 patients was 16.5 and 1.9 months, respectively (p=0.001). Median overall survival of these patients was 34.4 and 8.0 months, respectively (p=0.029). The most prominent DNA methylation differences were found in pathways implicated in Rap1 signaling, focal adhesion, adherens junction Phosphoinositide 3-kinase (PI3K)-Akt signaling and extracellular matrix (ECM)-receptor interaction.
Our data demonstrate that tumor DNA methylation profiles may serve as a predictive marker for response to anti-PD-1 ICI therapy in sarcoma.
某些肉瘤对免疫检查点抑制有反应,但预测生物标志物尚不清楚。我们分析了肿瘤 DNA 甲基化谱与免疫参数的关系,并分析了接受抗程序性细胞死亡 1(抗 PD-1)免疫检查点抑制剂(ICI)治疗的肉瘤患者的反应。
我们在两个独立的中心回顾性地确定了接受抗 PD-1 ICI 治疗复发性肉瘤的成年患者。我们进行了以下操作:(1)根据实体瘤免疫反应评估标准(iRECIST)进行盲法影像学反应评估;(2)使用 Infinium MethylationEPIC 微阵列对>850,000 个探针进行肿瘤 DNA 甲基化谱分析;(3)使用免疫组织化学分析肿瘤浸润免疫细胞亚群(CD3、CD8、CD45RO、FOXP3)和肿瘤内免疫检查点分子(PD-L1、PD-1、LAG-3)的表达;(4)评估基于血液的全身炎症评分(中性粒细胞与淋巴细胞比值、白细胞与淋巴细胞比值、单核细胞与淋巴细胞比值、血小板与淋巴细胞比值)。使用生物信息学和统计学方法将抗 PD-1 ICI 治疗的反应与 DNA 甲基化谱和免疫学数据相关联。
本研究纳入 35 例患者(中位年龄 50(23-81)岁;女性 18 例,男性 17 例;27 例软组织肉瘤,8 例骨肉瘤)。抗 PD-1 ICI 治疗的客观缓解率为 22.9%,35 例患者中有 3 例完全缓解,5 例部分缓解。对肿瘤浸润免疫细胞的 DNA 甲基化数据进行调整后,确定了对 PD-1 ICI 有反应者和无反应者之间的甲基化差异。鉴定出 2453 个差异甲基化 CpG 位点(DMPs;2043 个甲基化减少,410 个甲基化增加)。基于这些 DMPs 对肉瘤样本进行聚类分析,发现了两个主要的聚类:甲基化聚类 1(MC1)包含 73%的应答者,甲基化聚类 2(MC2)仅包含对 PD-1 ICI 无应答者。MC1 和 MC2 患者从抗 PD-1 治疗开始的无进展生存期分别为 16.5 和 1.9 个月(p=0.001)。这些患者的中位总生存期分别为 34.4 和 8.0 个月(p=0.029)。最显著的 DNA 甲基化差异发生在涉及 Rap1 信号、黏附斑、黏着连接磷酸肌醇 3-激酶(PI3K)-Akt 信号和细胞外基质(ECM)-受体相互作用的途径中。
我们的数据表明,肿瘤 DNA 甲基化谱可能是预测肉瘤对 PD-1 ICI 治疗反应的生物标志物。